Professor of Computer Science
I am interested broadly in theoretical computer science: the study and discovery of fundamental computational principles that are mathematical truths, unaffected by changes in computing technology and hardware.
- B.Tech., IIT Bombay
- M.A., Princeton University
- Ph.D., Princeton University
A. Chakrabarti, G. Cormode, A. McGregor, J. Thaler, and S. Venkatasubramanian. “Verifiable Stream Computation and Arthur–Merlin Communication,” (with G. Cormode, A. McGregor, J. Thaler, S. Venkatasubramanian), in Proc. 30th Ann. Conf. Comput. Complexity (CCC 2015).
A. Chakrabarti, L. K. Fleischer, C. Weibel. “When the Cut Condition is Enough: A Complete Characterization for Multiflow Problems in Series-Parallel Networks,” in Proc. 44th Ann. ACM Symp. Theory Comput. (STOC 2012) 19-26.
A. Chakrabarti and O. Regev. “An Optimal Lower Bound on the Communication Complexity of Gap-Hamming-Distance”, SIAM J. Comput., 41:5 (2012) 1299-1317.
A. Chakrabarti, G. Cormode and A. McGregor. “ A Near-Optimal Algorithm for Estimating the Entropy of a Stream,” ACM Trans. Alg., 6:3 (2010) Art. 51.
Works In Progress
Developing the connections between information theory and computational complexity
Algorithms for analyzing large graphs using limited memory
Algebraic techniques and problems in computational complexity
Thorough study of the complexity of fundamental communication problems